claude-context
zilliztech
Code-search MCP server for AI coding agents - semantic + BM25 hybrid search across whole codebases.
What is claude-context?
claude-context is a Zilliz-maintained MCP server that indexes a codebase and exposes it to AI coding agents via hybrid BM25 + dense-vector search. It uses Merkle-tree incremental indexing so only changed files are re-embedded, AST-based chunking, and supports VoyageAI, OpenAI, Gemini and Ollama embeddings. It claims ~40% token reduction (project's own claim).
Pros & Cons
Pros
- Backed by Zilliz (Milvus creators) - a credible vector-infrastructure org
- Merkle-tree incremental indexing keeps re-indexing fast as code evolves
- Ships as npm packages, a VS Code extension and an MCP server
Cons
- Requires an embedding-provider API key - adds cost and an external dependency
- Token-reduction claim is from the project's own evaluation
- Overlaps with other code-search MCP servers in this space
License
MIT (OSI-open)
When it is interesting
Large monorepos where you want an agent to search the full codebase semantically rather than via grep.
When it is too early
Small projects that fit in context, or teams avoiding external embedding-API costs.
Commercial alternative & related
- Commercial counterpart: Sourcegraph Cody
This repo featured in the 2026-07 edition of the Open-Source AI Radar.
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